BASIC INTRODUCTION TO PROBABILITY
You will learn about basic probability as the number of favorable outcomes/total number of outcomes. A useful tool for Math students of Classes 11 and 12 and anyone interested in Probability. A few of the problems in this video include A coin is tossed twice. What is the probability of getting at least 1 tail? If 6 persons sit in a row, what is the probability that A and B are sitting on adjacent seats? 2 cards are drawn from a well shuffled pack of 52 cards. What is the probability that one is red and the other black? In a group there are 3 men and 2 women. 3 persons are chosen at random. Find the probability that the group consists of 1 man and 2 women or 2 men and 1 woman. Online classes are provided. You could register for a specific topic or the entire course. You can contact me on firstname.lastname@example.org for more details.
PROBLEMS ON PROBABILITY
Learn more about probability. for Class 12 Maths. Problems are solved from the NCERT and ISC syllabus.You are introduced to conditional probability, independent events and how to solve problems using them. A useful lesson for math students of class 12.
Learn more about conditional probability and independent events. The use of geometric progression in Probability is also illustrated through a simple problem. A great lesson for math students of classes 12.
BAYES THEOREM AND IT'S APPLICATIONS
Do you know how easy it is to solve problems in Probability using Bayes Theorem? This video teaches you precisely how to do that. I am Suman Mathews, a math educator teaching mathematics for over 2 decades and in this video, I will explain Bayes Theorem and how to use it in problems. You will be introduced to the statement of Bayes' Theorem and how to use it in problems. For those of you in Class 12, this is just what you need.
DISCRETE AND CONTINUOUS RANDOM VARIABLES
In this video, you will learn what is a random variable and how to write down the probability distribution for a random variable. This is a part of Statistics and Class 12 Mathematics CBSE and ISC class 12 mathematics. You will be taught how to calculate the mean and variance for discrete and continuous probability distributions.
WHAT ARE BINOMIAL DISTRIBUTIONS?
In this video, you will be introduced to a Binomial probability distribution and you will also learn how to distinguish a Binomial distribution from a random variable distribution. You will learn how to calculate the probability distribution for a Binomial distribution using a simple formula and learn techniques on calculating the mean and variance for the same. A number of solved examples are explained and illustrated in a simple manner.
MORE ABOUT CONDITIONAL PROBABILITY AND BINOMIAL THEOREM
How do you calculate the total probability, random variables and probability using Binomial theorem. Learn all this and more in this video. Solve problems on Binomial Theorem, conditional probability. Learn how to calculate the mean and variance and much more. Online tutoring is also provided. You can choose between specific courses or the entire topic.
PROBABILITY FORMULAS FOR CLASS 12
Presenting all the formulae needed for Probability Class 12 mathematics, CBSE, ISC . The target audience would be Class 11/12 Mathematics students and anyone else interested in Mathematics. You will be introduced to the basic definition of Probability, Independent events, Mutually exclusive events are discussed here. Formulas on Addition theorem, Conditional Probability and Multiplication Theorem are given. Total Probability and Bayes theorem are mentioned. This is followed by Random variables and how to calculate their mean and variance. Binomial distributions are explained next and the difference between Random variables and Binomial distribution is explained. Finally, we conclude with the mean and variance formulas of a Binomial distribution. This is a revision before your examinations. Online classes are also available. You can register for a masterclass for a specific topic or for the entire course. For further details, contact me on email@example.com.